Adding retrospective and prospective reward-disparity penalties to PPO lowers demographic parity and conditional statistical parity disparities in two multi-agent simulations, at a measurable efficiency cost.
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Fairness Aware Reinforcement Learning via Proximal Policy Optimization
Adding retrospective and prospective reward-disparity penalties to PPO lowers demographic parity and conditional statistical parity disparities in two multi-agent simulations, at a measurable efficiency cost.